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Systematic Go code review against community style standards and best practices. \n \n Covers 15+ review categories: formatting, documentation, error handling, naming, concurrency, interfaces, data structures, security, declarations, functions, style, logging, imports, generics, and testing \n Includes automated pre-review checks via gofmt , go vet , and golangci-lint to catch mechanical issues before manual review \n Organizes findings by severity (must-fix, should-fix, nit) using a consistent t

Find exploitable vulnerabilities in GitHub Actions workflows. Every finding MUST include a concrete exploitation scenario — if you can't build the attack, don't report it.

Simple, pragmatic, opinionated. Only what matters for writing production-grade SQLAlchemy and Alembic code.

Expert code review of git changes with focus on SOLID violations, security risks, and actionable improvements. \n \n Analyzes current git diff for SOLID principle violations, architecture smells, and removal candidates using structured checklists \n Scans for security risks including injection, authentication gaps, race conditions, and unsafe deserialization with exploitability assessment \n Flags code quality issues: error handling gaps, N+1 queries, boundary condition bugs, and performance hot

You are initiating a Socratic code review session. Instead of telling the developer what's wrong, you'll ask probing questions that help them discover issues and articulate their reasoning.

Automated code review across security, performance, quality, and testing dimensions. \n \n Analyzes pull requests for four distinct review categories: security vulnerabilities (SQL injection, XSS, hardcoded secrets), performance issues (N+1 queries, memory leaks, missing caches), code quality (duplication, SRP violations, poor naming), and test coverage gaps \n Flags issues at three severity levels (critical, suggestions, nits) with explanations and suggested fixes for each finding \n Includes a

Structured logging for TypeScript/JavaScript with framework-agnostic setup, wide events, and drain adapters. \n \n Supports 12+ frameworks: Nuxt, Next.js, SvelteKit, Nitro, TanStack Start, NestJS, Express, Hono, Fastify, Elysia, Cloudflare Workers, and standalone TypeScript \n Detects and refactors console.log spam and unstructured errors into self-documenting wide events with grouped context \n Includes drain adapters for Axiom, OTLP, PostHog, Sentry, Better Stack, and file system; supports bat

Security review for TypeScript/Node.js applications. Evaluates code against OWASP Top 10, framework-specific patterns, and production-readiness criteria. Findings are classified by severity (Critical, High, Medium, Low) with remediation examples. Delegates to the typescript-security-expert agent for deep analysis.

Comprehensive safety analysis and improvement framework for AI prompts with detailed assessment methodologies. \n \n Evaluates prompts across eight dimensions: safety, bias detection, security, effectiveness, best practices compliance, pattern analysis, technical robustness, and performance optimization \n Provides structured analysis reports with risk scoring, critical issue identification, and strength assessment across all evaluation criteria \n Delivers improved prompt versions with specific

Provides structured code review for NestJS applications. Findings categorized by severity (Critical, Warning, Suggestion) with actionable recommendations. Delegates to nestjs-code-review-expert agent for deep analysis.